土壤水分的遥感微波测量模型

土壤水分的遥感微波测量模型

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Contributor(s)

Initial contribute: 2018-12-04

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
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Classification(s)

Method-focused categoriesData-perspectiveRemote sensing analysis
Method-focused categoriesProcess-perspectivePhysical process calculation

Model Description

Chinese {{currentDetailLanguage}} Chinese

土壤水分的遥感微波测量模型

 

1.  微波技术

微波亮度温度()可表示为:

 

式中,是土壤上方高度处的辐射计的大气透射率;是光滑表面的反射率;是土壤的温度,是大气的平均温度;是天空亮度反射的贡献部分。

 

忽略这两项,可简化为:

式中,是辐射率,依赖于土壤的介电常数和地表粗糙度。

反射系数可表示为:

式中,是入射角。

2.  测量深度

微波在土壤中的穿透深度可表示为:

式中,是在自由空间中的传播波数;是土壤的介电常数;表示取复数的虚数部分。

3.  表面粗糙度

Choudury等已经表明地表粗糙度会影响土壤的反射率

式中,是光滑地表的反射率;是粗糙度参数(),正比于地表高度变化的均方根;是入射角。

假设随机粗糙度的影响与入射角无关,则有:

4.  植被覆盖

植被可处理为一个吸收层,并可通过表示为植被水分含量的量化关系:

式中,是单位体积土壤水分;是观测辐射率;是植被水分。

 

参考文献:

Enhman E TChauhan N:土壤水分的遥感微波测量的现状。Remote Sensing ofEnvironment1995,51

How to Cite

《资源环境数学模型手册》 (2018). 土壤水分的遥感微波测量模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/4d519b8b-fce4-47de-8fcf-bfb61ee67857
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History

Last modifier : 
Mingyuan Li
Last modify time : 
2020-12-29
Modify times : 
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Contributor

Initial contribute: 2018-12-04

Co-contributor(s)

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
View
Is authorship not correct? Feedback

History

Last modifier : 
Mingyuan Li
Last modify time : 
2020-12-29
Modify times : 
View History

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